MCP

What is MCP?

MCP is a Model Context Protocol server implementation that allows AI assistants like Claude to interact with custom tools and resources. Built with the official @modelcontextprotocol/sdk, it runs as a Node.js application and communicates over stdio, making it compatible with VS Code's MCP integration. It targets developers who want to extend AI capabilities with custom functionality.

How to use MCP?

Install dependencies with pnpm install, build with pnpm run build, and start with pnpm start. For VS Code integration, add a server entry to .vscode/mcp.json with the command node and the path to the built index.js, then enable chat.mcp.discovery.enabled in settings.

Key features of MCP

• Modular architecture for tools, resources, and prompts
• Stdio communication compatible with VS Code MCP integration
• Environment configuration via dotenv
• Full TypeScript support for type safety
• Extensible design with provided interfaces

Use cases of MCP

• Adding custom tools to AI assistants for development workflows
• Creating modular resource and prompt handlers for IDE integration
• Building extendable server foundations for custom capabilities

FAQ from MCP

What runtime does MCP require?

It requires Node.js and the pnpm package manager. TypeScript is used for development and must be compiled before running.

How do I configure MCP for VS Code?

Add a server entry to .vscode/mcp.json specifying the command node and the absolute path to the built dist/index.js. Enable chat.mcp.discovery.enabled in settings and verify via the command palette’s MCP options.

What programming language is MCP built with?

MCP is written in TypeScript and uses the official @modelcontextprotocol/sdk. It provides type safety and an extensible class-based architecture.